A Large Ensemble Global Dataset for Climate Impact Assessments

We present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate, which accounts for the uncertainty in climate system response to anthropogenic emissions of greenhouse gases and in geographical patterns of climate change. The dataset is developed by applying...

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Detalles Bibliográficos
Autores principales: Gao, Xiang, Sokolov, Andrei, Schlosser, C. Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645928/
https://www.ncbi.nlm.nih.gov/pubmed/37963887
http://dx.doi.org/10.1038/s41597-023-02708-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645928/
https://www.ncbi.nlm.nih.gov/pubmed/37963887
http://dx.doi.org/10.1038/s41597-023-02708-9

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